Key Responsibilities - Define and govern enterprise frameworks, standards, and processes for managing data flows between OLTP systems and the Lakehouse, ensuring alignment with enterprise data principles. - Develop and optimize solution architectures to address data inconsistencies and integrity issues, improving data quality and reducing storage costs. - Review and endorse architecture blueprints across the data platform, ensuring alignment with enterprise Data Architecture. - Establish and maintain architecture principles, frameworks, and guidelines for Technology Architecture Governance, providing oversight across subsidiaries. - Manage end-to-end architectural engagements, identifying gaps between current and desired data architectures and defining transition roadmaps. - Evaluate and review technical and architectural proposals, providing feedback and insights to improve technology efficiency and optimization. - Support architecture-related change management reviews and translate architecture roadmaps into executable projects and programs. - Conduct technology efficiency studies and translate findings into actionable roadmap items with measurable outcomes. Overview - The Senior Data Architecture Expert is a pivotal role within our Telecom sector, based in Hyderabad, responsible for shaping and executing the organization's digital data strategy. - With a focus on strategic thinking, this role involves evaluating existing data architectures, identifying gaps,



and formulating transition roadmaps to achieve desired target states. - The role requires a seasoned professional with a minimum of 12 years of experience in the data domain, including at least 5 years in enterprise data architecture. - The expert will provide technical leadership, influencing C-level executives and ensuring alignment with enterprise data principles. - The incumbent will be instrumental in managing large-scale technology and data architecture transformation programs, leveraging their deep expertise in data management, Data Lake, Lakehouse, and EDW ecosystems. - This position is crucial for defining and governing enterprise frameworks and standards, ensuring data flows are optimized and aligned with enterprise architecture principles. Requirements - Master’s degree in Telecommunications Science and Technology or a related Engineering discipline. Preferred Bachelor’s in Computer Science or Data Engineering. - Minimum of 12 years of experience in the data domain, with at least 5 years in a data enterprise architecture role. - Preferred certifications in Enterprise Architecture such as TOGAF or Zachman. - Experience in managing large-scale Technology/Data/AI Architecture Transformation and Implementation programs. - Strong leadership skills with the ability to influence C-level executives. - Deep expertise in data management, Data Lake, Lakehouse, and EDW ecosystems. - Solid knowledge of key data platform technologies like Teradata, Databricks, and Hadoop-based platforms.

📌 Data Architecture Expert (Telangana)
🏢 Net Connect
📍 Telangana